Bin Yang

Unbiased Prototype Consistency Learning for Multi-Modal and Multi-Task Object Re-Identification

Rethinking Fair Federated Learning from Parameter and Client View

SPMC: Self-Purifying Federated Backdoor Defense via Margin Contribution

Federated Disentangled Tuning with Textual Prior Decoupling and Visual Dynamic Adaptation

Splitting with Importance-aware Updating for Heterogeneous Federated Learning with Large Language Models

Empowering Visible-Infrared Person Re-Identification with Large Foundation Models